Paper

  • Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

    Andrei Barbu, Ignacio Cases, Jan DeWitt, Boris Katz, Gabriel Kreiman, Joseph Madsen, Pranav Misra, Dana Rosenfarb, Aaditya Singh, Scellig Stone, Vighnesh Subramaniam, Christopher Wang, Adam Yaari p96505-96540 from Advances in Neural Information Processing Systems 37
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  • Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

    Christopher Chen, Joanna Chong, Zijian Dong, Fang Ji, Ruilin Li, Thuan Nguyen, Nathanael Tong, Yilei Wu, Juan Zhou p86048-86073 from Advances in Neural Information Processing Systems 37
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  • Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment

    Elias Issa, Tahereh Toosi p56979-56997 from Advances in Neural Information Processing Systems 36
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  • BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?

    Abdulrahman Alabdulkareem, Andrei Barbu, Asa Harbin, Boris Katz, David Mayo, Albert Shaw, Christopher Wang p54396-54420 from Advances in Neural Information Processing Systems 37
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  • Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize

    Xinyi Hu, Jasper Lee, Jimmy Lee, Allen Z. Zhong p25807-25817 from Advances in Neural Information Processing Systems 35
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  • Brant: Foundation Model for Intracranial Neural Signal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Brant: Foundation Model for Intracranial Neural Signal

    Junru Chen, Yafeng Li, Jingjing Wang, Yang Yang, Zhizhang Yuan, Daoze Zhang p26304-26321 from Advances in Neural Information Processing Systems 36
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  • Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

    Pulkit Agrawal, Max Balsells I Pamies, Tao Chen, Samedh Desai, Abhishek Gupta, Marcel Torne Villasevil, Zihan Wang p63222-63258 from Advances in Neural Information Processing Systems 36
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  • Break It Down:  Evidence for Structural Compositionality in Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Break It Down: Evidence for Structural Compositionality in Neural Networks

    Michael Lepori, Ellie Pavlick, Thomas Serre p42623-42660 from Advances in Neural Information Processing Systems 36
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  • Breaking Bad: A Dataset for Geometric Fracture and Reassembly

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Bad: A Dataset for Geometric Fracture and Reassembly

    Yun-Chun Chen, Animesh Garg, Alec Jacobson, Silvia Sellán, Ziyi Wu p38885-38898 from Advances in Neural Information Processing Systems 35
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  • Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

    Enhong Chen, Defu Lian, Hao Wang, Wenjia Xie, Luankang Zhang, Rui Zhou p22720-22744 from Advances in Neural Information Processing Systems 37
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  • Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts

    Song Lai, Fanfu Wang, Pengkun Wang, Yang Wang, Zikang Wang, Haibin Wen, Qingfu Zhang, Zhe Zhao p7493-7520 from Advances in Neural Information Processing Systems 37
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  • Breaking Semantic Artifacts for Generalized AI-generated Image Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Breaking Semantic Artifacts for Generalized AI-generated Image Detection

    Xu Guo, Chenhao Lin, Shuai Liu, Chao Shen, Hang Wang, Zhengyu Zhao, Chende Zheng p59570-59596 from Advances in Neural Information Processing Systems 37
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